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  • 3D-FREDI 
    Bilal Musani, Shaheer Hashim Umair Khan (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    3D face reconstruction has been a challenging task for the last two decades in the field Computer Vision. Standard approach to 3D facial reconstruction relies on the availability of multiple facial images, but this ...
  • Access Control for Safer City 
    Hamza Sajid, Muhammad Saad, Muhammad Ibrahim Sahibzada (SEECS, National University of Science and Technology, Islamabad., 2017)
  • Acoustic Event Detection in Urban Environments 
    Muhammad Kamran Akbar, Rehan Nawaz, Farah Tahir Yousaf Khan (SEECS, National University of Sciences and Technology, Islamabad, 2019)
    Acoustic Event Detection in Urban Environments is a software-based implementation that consists of sound detection, real-time acoustic analytics and deep learning algorithms to detect, classify and predict the environment. ...
  • Acquisition of Sensor-based for retail business optimization 
    Uneeb Ur Rehman, Rao; Khalid, Khawaja Fahad; Farooq, Umer; Arshad, Saad (SEECS, National University of Sciences & Technology Islamabad, 2018)
  • Advance Reservation and Dynamic Scheduling of Point to Multipoint Lightpaths 
    Arshad, Faraz (SEECS, National University of Sciences & Technology Islamabad, 2008)
  • AEGIS – APP to Assist Heart Failure Patients 
    Shiza Tariq, Faiza Tahir (SEECS, National University of Sciences and Technology Islamabad., 2015)
    According to WHO report as of 2014 coronary heart disease has been ranked as the first cause for death in Pakistan along with being the leading cause of death worldwide it contributes to 17 million hospitalizations and 313 ...
  • Agris: Agricultural Remote Image Sensing 
    Kamila Zaman, Noor ul Ain Gul e Fatima (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Project AGRIS is an exploration in the field of Remote Image Sensing (RIS) used for crop yield prediction for better economic planning, basically it aims at analyzing different algorithms suitable and hence, using the most ...
  • Aliud Internet Solution 
    Sayyed Shozib Abbas, Raja Sajjad Mehmood Fizza Shafiq (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    is an integral part of everyday life of people. The access of it is just as important. It is the greatest source of information transference. Due to this level of importance the infrastructure of internet has seen a lot ...
  • Analysis of Broadband Impedance Matching Techniques 
    Adnan Naveed, Muhammad Asad (SEECS: National University of Science Technology, 2012)
  • Analysis of Vulnerabilities of Home Networks 
    Talha Javed Mukhtar, Muhammad Karshasup Khan (SEECS, National University of Sciences and Technology, Islamabad, 2016)
    The project aims to build a tool that makes it easy to uncover security weaknesses in home networks. Such a tool can be used by ISPs to provide a securing service to their customers or by owners of a home network to directly ...
  • Analytics and Visualization in Openstack (AVOS) 
    Syed Mohammad Aunn Raza, Hunain Arif (SEECS, National University of Sciences & Technology Islamabad., 2016)
    Openstack and other virtualized cloud computing systems are vulnerable to performance faults and anomalies [1] due to various reasons, such as resource exhaustion, software flaws, and hardware crashes. Currently, Openstack ...
  • Analyzing Text Content in a Video 
    Hamza Ali Zafar, Sadia Younis Muhammad Salman Ali (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Videos are dynamic in nature. They contain pictures as well as text with different dimensions and colors per frame. Videos contain valuable information in the form of text. The salient features of text in videos are the ...
  • AssemSure; Quality Assurance on Assembly Lines using Predictive Analytics 
    M Shahbal Khan, M Moaaz Ahmed, Khubaib Ali Pirzada (SEECS NUST, 2017)
  • ASuRe: Automatic Surveillance Using Re-Identification 
    Muhammad Fahad Rana, Hira Naveed, Mukarram Ishaq (SEECS, National University of Science and Technology, Islamabad., 2018)
  • ATECT 
    Shoaib Zafar, Ismail Tirmizi Umer Ahmed Cheema (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Object detection has been a very arduous task in the field of computer vision, artificial intelligence and machine learning for quite some time now. It has been an area of interest and study for many decades now. Object ...
  • Augmented Reader 
    Jafer Khan Shamshad, Malik Faizan Zafar, Mohsin Latif, Muhammad Faiq Farhan (SEECS: National University of Science Technology, 2017)
  • Auto Ballot 
    Nabiha Iqbal, Saman Zehra Almas Liaqat (SEECS, National University of Sciences and Technology, Islamabad, 2016)
    In todays time technology is advancing and paper based systems are all moving towards technology. One of the major paper based system we use in our lives is that of voting system. Currently many countries have shifted to ...
  • Auto Train Animals through Augmented Reality (Augmented Reality For Animals) 
    Israr ulhaq, Syed Muhammad Dawoud Sheraz Ali Syed Salman Haider Kazmi (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Animals have the cognitive ability just like humans but there is no research on how that cognition actually works. There is not much of an evidence if the animals’ decision making follow the same pattern as of humans or ...
  • Automated Attendance (Face Recognition based Automated Attendance) 
    Anas Tehseen, Khizar Ijaz Faaiz Asim (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Existing attendance systems are entirely manual or semi-automatic. They are much time consuming and difficult to manage. So our aim was to build a system which is truly automated, marks attendance in no time and is ...
  • Automated Gait Recognition 
    Muhammad Asad Ali, Muhammad Saad Sohail (SEECS, National University of Sciences and Technology, Islamabad, 2019)
    Biometric technologies possess considerable importance in the modern world where real time and remote surveillance for identification of individuals is critical. Biometric identifiers may depend on physiological or behavioral ...

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